Human Generated Data

Title

Christ and the Woman Taken in Adultery

Date

16th century

People

Artist: Anonymous France (Paris) 1528, French 16th century

Classification

Prints

Human Generated Data

Title

Christ and the Woman Taken in Adultery

People

Artist: Anonymous France (Paris) 1528, French 16th century

Date

16th century

Classification

Prints

Machine Generated Data

Tags

Amazon

Art 98.9
Painting 98.9
Person 66.9
Human 66.9

Clarifai

art 97
illustration 95.9
chalk out 94.9
old 94
ancient 93.6
print 93.1
religion 91.4
people 91.1
culture 90.8
vintage 89.5
desktop 88.6
design 87.7
retro 87.2
decoration 86.5
pattern 84.7
engraving 83.8
symbol 82.8
man 82.2
architecture 81.9
painting 80.9

Imagga

sketch 100
drawing 100
representation 89.6
art 34.6
design 25.9
vintage 24.8
grunge 23.9
retro 23.8
pattern 21.2
decoration 19
map 18.7
old 18.1
frame 17.5
texture 17.4
graphic 16.8
decorative 16.7
antique 16
element 15.7
artistic 14.8
money 14.5
currency 13.5
paper 13.3
wallpaper 13
black 12.6
style 12.6
shape 11.9
finance 11.8
border 11.8
color 11.7
traditional 11.7
creative 11.5
floral 11.1
silhouette 10.8
ancient 10.4
business 10.3
dollar 10.2
leaf 10.1
atlas 9.9
religion 9.9
modern 9.8
financial 9.8
scroll 9.5
ornament 9.5
ornate 9.2
travel 9.2
painting 9
bank 9
history 9
decor 8.9
symbol 8.8
stamp 8.7
geography 8.7
capital 8.5
flower 8.5
economy 8.4
mosaic 8.3
sign 8.3
cash 8.2
detail 8.1
textured 7.9
colorful 7.9
curve 7.9
grungy 7.6
plan 7.6
classic 7.4
banking 7.4
template 7.3
artwork 7.3
paint 7.3

Google

Microsoft

nintendo 100
text 100
book 99.9
drawing 99.7
sketch 99.5
illustration 93.2
cartoon 93.1
art 51.2

Face analysis

Amazon

Microsoft

AWS Rekognition

Age 13-23
Gender Female, 91.6%
Angry 29.5%
Calm 56%
Disgusted 1%
Fear 3.1%
Surprised 2.3%
Confused 0.3%
Sad 6.2%
Happy 1.7%

AWS Rekognition

Age 20-32
Gender Female, 68.9%
Calm 19.6%
Angry 15.3%
Disgusted 12.1%
Fear 9.2%
Confused 0.6%
Happy 3.3%
Sad 38.8%
Surprised 1.1%

AWS Rekognition

Age 13-25
Gender Male, 64.9%
Happy 0.5%
Disgusted 1.8%
Calm 89.4%
Angry 5.1%
Sad 2%
Fear 0.4%
Confused 0.3%
Surprised 0.5%

AWS Rekognition

Age 14-26
Gender Male, 92.3%
Calm 83.6%
Angry 7%
Sad 3%
Surprised 0.1%
Disgusted 6%
Fear 0.1%
Confused 0.1%
Happy 0.1%

AWS Rekognition

Age 23-35
Gender Male, 52.2%
Disgusted 45%
Calm 54.9%
Fear 45%
Confused 45%
Sad 45%
Angry 45%
Surprised 45%
Happy 45%

AWS Rekognition

Age 22-34
Gender Male, 58.4%
Happy 0%
Surprised 0%
Fear 0.4%
Calm 0.1%
Disgusted 0.1%
Sad 0.1%
Confused 0%
Angry 99.2%

AWS Rekognition

Age 21-33
Gender Male, 68.3%
Angry 14.3%
Disgusted 0.3%
Happy 2.8%
Sad 7.4%
Surprised 3.9%
Fear 7.9%
Confused 0.2%
Calm 63.2%

AWS Rekognition

Age 12-22
Gender Female, 91.2%
Surprised 3.9%
Fear 3.8%
Confused 0.5%
Disgusted 0.7%
Calm 64.6%
Happy 4.6%
Sad 6.7%
Angry 15.3%

Microsoft Cognitive Services

Age 27
Gender Female

Microsoft Cognitive Services

Age 22
Gender Female

Microsoft Cognitive Services

Age 31
Gender Female

Feature analysis

Amazon

Person 66.9%

Captions

Microsoft

a close up of a book 65.7%
close up of a book 60.1%
a close up of text on a book 50.5%

Text analysis

Amazon

ALT
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